CN107077505A - Automatic mode mismatches detection - Google Patents
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- CN107077505A CN107077505A CN201580062833.3A CN201580062833A CN107077505A CN 107077505 A CN107077505 A CN 107077505A CN 201580062833 A CN201580062833 A CN 201580062833A CN 107077505 A CN107077505 A CN 107077505A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/20—Software design
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/211—Schema design and management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/0486—Drag-and-drop
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/34—Graphical or visual programming
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Abstract
Mismatch between auto-id data collection and the schema elements of operation.It is configured as the interactive visual working space for the diagram creation for supporting data conversion streamline to be visually rendered in addition, the mismatch can be combined.After data set is connected to operation, one or more mismatches can be determined and be present in the context of working space.In addition, schema elements can be reconfigured by way of the visual representation with schema elements is interacted, to solve to mismatch.
Description
Background technology
Change data first is related to collect valuable opinion to the processing of substantial amounts of data or so-called big data.It is logical
The establishment, scheduling and execution of one or more operations are crossed, data are converted into for by business intelligence end points (such as instrument board)
The available form announced or used.In this context, operation is to include the work of one or more map functions in data
Unit.Generally, operation is by hand-codings such as data mining personnel, data framework teacher, business intelligence architects.In addition, exploit person
Member or similar individual task are to ensure that data used in operation are constructed in the acceptable mode of operation.
The content of the invention
The content of the invention of simplification presented below, so as to provide to subject some in terms of basic comprehension.This hair
Bright content is not extensive general introduction.It is not intended to mark key/critical elements or describes the scope of theme claimed.Its
Sole purpose is some concepts are presented in simplified form, is used as the preamble of the embodiment presented later.
Briefly describe, this theme, which is disclosed, is related to automatic mode mismatch detection.Being connected to data set in response to user can
The operation on working space depending on creating interface, pattern matching process is initiated.Pattern matching process mark data integrated mode with
Between the element for matching and detecting dataset schema and the desired pattern of operation between the element of the desired pattern of operation
Mismatch.Mismatch can be detected based on the measurement of corresponding relation intensity and predetermined threshold is indicated.The mismatch detected can
With the user being presented in the part at visual creation interface.In addition, user can be able to be solved with to mismatch
Mode and the mismatched interaction detected.
For the realization of foregoing and related purpose, claimed theme is described herein in conjunction with following description and accompanying drawing
Some illustrative aspects.These aspects are indicated can be in the various modes of practical matter, and all these modes are intended to be in and wanted
In the range of the theme for asking protection.When considered in conjunction with the accompanying drawings, other advantages and novel feature can from following detailed description
To become apparent.
Brief description of the drawings
Fig. 1 is the block diagram of visual authoring system.
Fig. 2 is the block diagram of representative mode matching component.
Fig. 3 is the block diagram of representative matching identification part.
Fig. 4 is the screenshot capture that exemplary visual creates interface.
Fig. 5 is to create the screenshot capture at interface with the exemplary visual for showing unmatched panel.
Fig. 6 is the screenshot capture that the exemplary visual with the panel for showing unmatched solution creates interface.
Fig. 7 is the flow chart of detection and the unmatched method of solution pattern.
Fig. 8 is the flow chart of the method for pattern match.
Fig. 9 is the flow chart for the method classified to pattern match.
Figure 10 is to show the schematic block diagram suitable for the operating environment of each side disclosed in this theme.
Embodiment
Following details relates generally to automatic mode and mismatches detection and solve.Streamline includes wherein the first operation
Output alternatively provides the set of one or more related operations of input to the second operation.For example, one or more input numbers
The operation using input data set is may be connected to according to collection, data map function is performed, and produce output data set.Input number
Can be different with the pattern of operation (or, in other words, the desired pattern of the operation) according to the pattern of collection.In successful execution operation
Before, it is necessary to solve these differences.As provided herein, data set mould can be automatically determined after data source is connected to operation
Difference between formula and work pattern.With reference to interactive visual working space, data source diagrammatically is connected into operation to send out
Schema elements can be categorized as matching or unmatched pattern matching process by rising.The element of pattern whether with the desired mould of operation
Formula, which is matched or mismatched, can be based on corresponding relation intensity and predetermined threshold, and wherein corresponding relation intensity is as one or more
The function of factor and the confidence metric calculated, one or more factors include but not limited to element data type and name
Claim.Mismatch can be presented in the context with visual working space, and allow users to solve the mismatch.
Visually distinguished not with coupling element for example, the schema elements associated with both data set and operation can be presented to have
Coupling element.User can then use one or more postures with data source and work pattern Match of elemental composition graphically to solve
Never match.Specify for input data set and matched on the contrary, passing through using all of schema elements of operation with requiring user
Displaying pattern mismatches and allows it readily to correct, and therefore pattern match is simplified or more efficiently carries out.
Various aspects disclosed in this theme are more fully described with reference now to accompanying drawing, wherein through accompanying drawing identical accompanying drawing mark
Note generally refers to identical or corresponding element.It will be appreciated, however, that accompanying drawing and associated detailed description are not intended as institute
Claimed theme is limited to particular forms disclosed.Theme claimed is fallen on the contrary, it is intended to be to cover
All modifications, equivalent and alternatives in spirit and scope.
With reference first to Fig. 1, visual authoring system 100 is shown.Visual authoring system 100 include working space component 110,
Source component 120, target element 130 and pattern matching components 140.Working space component 110 is configured as interactive by providing
The diagram of visual working space or painting canvas to enable operation and streamline is created, and wherein streamline includes the defeated of wherein the first operation
Go out alternatively to provide the set of one or more related operations of input to the second operation.For example, data set can be represented as
Cylinder and the operation that modified data set is connected to using data set and produced by arrow.Substantially, user
Can be with the graph of a relation between drawing data collection and operation.This causes intuitively to experience, and it is saved on understanding relation and finally referred to
The time of constant current waterline.Mismatched in addition, pattern matching components 140 are configured as automatic markers, and make it possible to solution
The certainly mismatch identified between data source and operation.
Source component 120 is configured as producing available data sources or the data set (set for including data) for being used for that operation to be created
Visual representation.Arbitrary data collection can be obtained by source component 120 and it is used, including substantially any form is (for example, table
Lattice, file, stream ...) or structure (for example, structuring, non-structured, semi-structured) local data source and be based on
The data source of cloud.In other words, source component 120 is configured as showing heterogeneous data source.Can be by being provided by source component 120
Search and import feature enable the set of data to be used.In addition, source component 120 can be configured as monitoring user or entity account automatically
Family etc. and addressable data source is set to be used.The data source rendered by source component 120 is interactive, and is used as
For the input of one or more operations.For example, using posture (such as drag and drop), the data source from source region can be added
To working space.
Target element 130 is configured to supply viewing position with display final data after being employed in all conversion
Collection.These data sets then can be announced or used by application (such as analysis is applied).A series of result of operation or operations can
To be dragged and dropped to from working space in target viewing area.
Working space component 110 is configured as enabling operation including one or more map functions and including wherein first
The output of operation alternatively provides the visual wound of the streamline of the set of one or more related operations of input to the second operation
Make.Especially, working space component 110 is configured as by way of the figure on working space promoting operation and streamline structure
Make.For example, user can be by the way that the visual representation of data source to be dragged and dropped into the working space pane or panel of user interface from source
To obtain data source.For example by drawing arrow to operation from data source with indicate data source provide the input that uses of operation and
One or more data map functions (for example, sequence, packet, axle turn, segmentation, filtering ...), the data source are performed thereon
It may be connected to the operation (for example, being automatically created using data preview and/or hand-coding) previously created.In addition,
The expression of transformed output can be linked to the expression of the operation on working space.As a result, defeated from data sources
The figure for entering and exporting the operation of the source of new data of the application of one or more map functions of reflection operation is shown.
Pattern matching components 140 are configured as the matching and not of the schema elements between mark data source and operation
Match somebody with somebody.Matching and mismatch the confidence metric that is based on the function of one or more factors to calculate and with one or many
Individual predetermined threshold is automatically determined compared to relatively.In an example, it can be obtained for data set and the schema elements of operation
The factor of such as element type and element term.Based on this, the intensity of " matching " is represented or more generally between schema elements
The confidence measure of corresponding relation intensity can be calculated.Then confidence metric can be with indicating to mismatch, matching or both it
Between one or more threshold values of certain situation be compared.Pass through the comparison with one or more threshold values, the pattern of data source
Element can be classified on the schema elements associated with operation.If for example, the highest confidence between two schema elements
Degree measurement is less than percent 50 (50%), then mismatching to be identified.By contrast, if highest confidence metric is higher than
Percent 50 (50%), then matching can be identified.Certainly, the 3rd selection can be it is uncertain with the presence or absence of mismatch or
Match somebody with somebody.For example, higher than the confidence metric of percent 70 (70%), then matching may be considered that presence, less than 50 percent
(50%) then mismatch and may be considered that presence, and can be classified between 50 percent and 70 percent (50-70%)
To be uncertain etc..
Fig. 2 depicts representative pattern matching components 140.Pattern matching components include pattern acquiring component 210, matching mark
Know component 220, configuration component 230 and visualization component 240.Pattern acquiring component 210 from data source and operation obtaining mode, its
Middle work pattern corresponds to the desired pattern of operation.Dataset schema and work pattern can be received or examined from source or operation
Rope, or determined alternatively by analyze data source or operation.Matching identification component 220 is configured as one group of schema elements
It is categorized as matching or mismatches.
Short attention span is gone into Fig. 3, representative matching identification component 220 is shown.Matching identification component 220 includes
Type component 310, title component 320, learning object 330 and confidence component 340.Type component 310 is configured to determine that mould
Type matching and mismatch between formula element.More specifically, type component 310, which is configured as mark, includes fundamental type (example
Such as, integer, real number, boolean ...) and compound type (for example, array, set, record, object ...) schema elements data
Type, and determine the matching of which schema elements based on type and mismatch.Title component 320 is configured as based on pattern member
Plain title determines pattern match and mismatch.If schema elements include same or analogous title (for example, in synonym
Listed in dictionary), then schema elements can be considered to be name-matches.If on the contrary, schema elements include different titles,
Schema elements are considered title mismatch.Learning object 330 is configured as based on the friendship from one or more users
Mutually learn to match and mismatch.If for example, user previously indicate the first element matched with second element, then ought be again
When running into the first element and second element, learning element 330 could be used to indicate that matching.Confidence component 340 is configured as
Generate the confidence metric of the corresponding relation intensity between acquisition mode element.In an example, intermediate scheme can be produced
Percentage match or unmatched value between element.For example, first element and second element are with 70 percent
(70%) confidence match.In addition, confidence component 340 can be obtained and using from type in generation confidence metric
The input of component 310, title component 320 and learning object 330.If for example, two schema elements have identical data class
Type and title, the then high likelihood that there is Match of elemental composition.By contrast, if one or more of data type and title no
It is similar, then there is the property of may be less likely to and unmatched high probability of matching.
Fig. 2 is returned to, component 230 is corrected and is configured as promoting unmatched solution.If existed not between schema elements
Matching, then correcting component 230 and providing allows user to correct these unmatched mechanism so that the whole pattern of data set and operation
Desired pattern match.According to embodiment, mismatch can be presented, and user can be by first by the pattern of data source
Element graphically corrects mismatch with the schema elements maps mutually of the operation matched.This can be by being positioned relative to each other
Completed with schema elements (for example, in mutually colleague of table) or by drawing the line of matching connection element.It is alternatively possible to logical
The mode of code specification is crossed to perform this mapping.
Visualization component 240 is configured as presenting mismatches inspection on the pattern in the context of visual authoring system 100
The visualization surveyed and solved.In an example, visualization component 240 can with render mode Match of elemental composition and it is unmatched can
Depending on expression.Approached and the potential data set matched of work pattern element for example, visualization component 240 can be generated and presented
Schema elements.In addition, graph-based can indicate that two schema elements are matching or mismatch.For example, green point and/
Or tick boxes can serve to indicate that the high probability of matching, and red point and/or tick boxes can be used to indicate that unmatched height
Probability.Of course, it is possible to which additional figure is presented come at least one middle ground between representing to match and mismatching, wherein confidence
Measurement is between matching or unmatched confidence metric, and additional figure is for example represented by the point and/or question mark of yellow.Another
In one example, visualization component 240 can provide interactive visual mechanism to correct mismatch.As an example, schema elements can
To be chosen, drag and be placed into the new position corresponding with the schema elements matched.It is alternatively possible to draw line
The schema elements of matching connection.In addition, when being received from user for solving unmatched input, can be with generation patterns element
Visual display to reflect made change, and the instruction of matching can be shown.Therefore, user can iteratively solution be never
Match somebody with somebody, until in the absence of mismatch.
Fig. 4-6 is to show the various visualization sides associated with the visual authoring system 100 including pattern matching components 140
The exemplary screen shots in face.These screenshot captures are intended to aid in being aware and understood in terms of the disclosure, and not purport
Limiting theme claimed.It should be appreciated that the screenshot capture provided depict only a realization.Graphic element and
Various other combinations of text and arrangement are conceived to and are intended to fall under in scope of the following claims.Moreover, it will be appreciated that
Using various sound user can also be aided in the unmatched mark of creation streamline including pattern and in solving.
Fig. 4 is can be by visually creating the screenshot capture at the visual creation interface 400 that interface 100 is produced.As illustrated, should
Interface includes three panels, source panel 410, working space panel 420 and announcement panel 430.Source panel 410 presents multiple available
Data source 412, and source is added or is removed from it.It should be appreciated that the data source described in source panel 410
412 can be arbitrary source.For example, some data sources 412 can be associated with local data, and other data sources and network
Or cloud data repository is associated.In addition, data source 412 can have substantially any structure or form.Working space panel
420 provide data source and the interactive graphical diagram of operation.As illustrated, the operation for such as providing purchase suggestion is represented as standing
Cube 422.Cube 422 is connected to the data set for being represented as the first cylinder 424.According to a realization, data set table
Showing can be dragged and dropped from source panel 410.Line with arrow the first cylinder 424 is connected to indicate from source to operation from a left side
To the cube of right data flow.In addition, the output of operation is represented as the second cylinder 426, and with from cube 422 to
Line and the arrow connection of second cylinder 426, depict the output that the second cylinder represents operation.Performing all desired changes
After alternatively, announce pane 430 provide come forth or workable data source visual representation.In the first circle by data set is represented
When cylinder is connected to the cube 422 for representing the operation in working space panel 420, such as by drawing the first cylinder
424 are connected to the line 428 of cube 422, and pattern matching process can be initiated and Fig. 5 screenshot capture can be produced.
Fig. 5 is the screenshot capture at the visual creation interface 500 that can be produced by visual authoring system 100.Visual creation circle
The similarity in face 500 and visual creation interface 400 is that it includes source panel 410 as previously described and working space face
Plate 420.In addition, data source is connected to after operation in user, context of the pattern match panel 510 in working space 420
In or original place be presented.Data source can be triggered on data source schema and by the desired pattern of operation to the connection of operation
Matching and unmatched determination, and the generation of pattern match panel 510 is at least to show result.Pattern match panel 510
Including table 520 and button 530 to receive mapping.Table 520 includes three row.First row corresponds to data source schema element.3rd row
Corresponding to work pattern element, and secondary series captures correspondence relationship information.Using dataset schema element, work pattern element and
Schema elements are the visual indicators 522 of mismatch or matching to fill row.
Here, first row corresponds to the schema elements of " population in the world statistics " data set, and the 3rd row are corresponding to being directed to
The expected and acceptable pattern of " purchase is recommended in game " operation.Include schema elements title and data type per a line,
Together with the finger that there is mismatch (being represented by the letter " x " surrounded by line) or matching (being represented by the tick boxes surrounded by line)
Show.In the row shown by five, two rows show the mismatch between schema elements.Especially, " integration " is illustrated as and " game
Score " is mismatched, and " score " is illustrated as mismatching with " Xbox integrations ", all these to have style number.In such case
Under, " integration " is matched with " Xbox integrations ", and " score " is matched with " game points ".In order to correct the mismatch, Yong Huke
To select " integration " element as shown in 540, drag and drop include the element in the row of " Xbox integrations " element.The result quilt of the action
There is provided in figure 6.
Fig. 6 is the screenshot capture at the visual creation interface 600 that can be produced by visual authoring system 100.With Fig. 5 interface
500 is similar, and interface 600 includes source panel 410, working space panel 420 and pattern match panel 510.Here, pattern match face
Plate by the way that " integration " element is dragged and dropped into the position occupied by " score " element in the row including " Xbox integrations " element and
Produce.Note, placement of " integration " element in as the point occupied by " score " element causes " score " element to replace including " trip
" Xbox integrations " element in the row of play score ".Present table 520, which is updated to reflect, causes all the new of schema elements matching to be reflected
Penetrate.Therefore, using a simple posture (i.e. drag and drop), mismatch is solved.Then, user can be connect with select button 530
Mapped, and enabled by being successfully processed that the operation is carried out by this.
Aforementioned system, framework, environment etc. are described on the interaction between several components.It should be appreciated that such
System and component can include some components in those components or sub-component, specified component or sub-component for wherein specifying
Or sub-component, and/or add-on assemble.Sub-component can also be implemented as being communicably coupled to other assemblies without being included in
Component in parent component.In addition, one or more assemblies and/or sub-component can be combined into single component to provide polymerization work(
Energy.Communication between system, component and/or sub-component can be according to pushing away and/or draw model is realized.Component can also with order to
Do not specifically describe herein for purpose of brevity and but one or more of the other component interaction well known by persons skilled in the art.
In addition, the various pieces of system disclosed above and following method can be included or using artificial intelligence, machine
Component, sub-component, process, means, method or the mechanism of device study or knowledge based or rule are (for example, SVMs, god
Through network, expert system, bayesian belief network, fuzzy logic, data fusion engines, grader ...).Such component is outstanding
It can make some mechanism thus performed or cross process automation, with cause a part for system and method have more adaptability and
It is efficiently and intelligent.It is unrestricted as example, learning object 330 can using such mechanism come based on previous interaction and
Other contextual informations are mismatched or matched to determine or infer.
In view of above-mentioned example sexual system, may be referred to Fig. 7-9 flow chart, more fully understand can according to disclosed theme
In the method for realization.While for purposes of simplicity of explanation, method is shown and described as a series of frame, it is to be appreciated that and
, it is realized that theme claimed is not limited by the order of the blocks because some frames can occur in a different order and/or
Occur simultaneously with other frames depicted and described herein.Furthermore, it is possible to not need all frames shown to be described below to realize
Method.
With reference to Fig. 7, detection and the unmatched method 700 of solution pattern are shown.At reference marker 710, receive and indicate
Signal of the data set (for example, separate data source, output ... of operation) to the connection of operation.Authoring environment is illustrated in interactive mode
In, when the expression of data set is connected to the expression of operation by user (such as by draw connection both line), signal can be with
It is generated and is then received.
After signal is received, schema elements matching and mismatch can be determined.More specifically, by data set mould
The element of formula and the element of work pattern are compared, and work pattern description is for the desired mould of the data inputted to operation
Formula.It can be compared between the feature (for example, title, type ...) of element, it is optimal between element to attempt to find
" matching " or corresponding relation.The element of confidence measure (intensity of the corresponding relation between expressive element) with higher than threshold value can
To be classified as matching.The element of confidence metric with less than threshold value can be classified as mismatch.In other words, pattern
Matching between element may be performed that the intensity based on corresponding relation come the best match between markers element, and
If the intensity of subsequent corresponding relation is less than the predetermined threshold for matching, matching can be re-classified as mismatching.
At mark 730, mismatch and optional matching is shown., can be in working space according to one embodiment
The display of in context or original place is mismatched so that user need not be by context or focus from a windows exchange to another window
Mouthful to check that flowing water line chart and pattern mismatch both.According to specific embodiment, can delivery mode information in a tabular form, its
Middle first row includes the element of dataset schema, and the 3rd row are included between the element of work pattern, and first row and the 3rd row
Secondary series indicator element whether match.Indicate to match based on various factors in addition, confidence metric can be shown with
Intensity instruction.
At reference marker 740, receive and change input on unmatched.In other words, receive with carrying out at least one
Change and mismatch associated signal to remedy.In one embodiment, it can be presented in interactive graphics user interface
Pattern is mismatched so that can be changed to solve to mismatch.For example, user can be by schema elements from first position drag and drop
To the second place corresponding with matching.It is alternatively possible to draw line with the schema elements of matching connection.Regardless of realizing,
User can use simple posture to carry out execution pattern matching, such as in the case where Auto-matching is not carried out.This simplifies
The process of pattern match, because to eliminate extensive work for the automatic mode of user.If unmatched problem is present,
User can be showed to be solved mismatch.
The method that Fig. 8 depicts pattern match 800.At reference marker 810, receive, the pattern associated with data set
Received, retrieve or otherwise obtain or obtain.If it is available, then dataset schema can be acquired from source.Alternatively
Ground, can be automatically determined based on the analysis of data set or infer the pattern.At mark 820, for the work pattern of input
Received, retrieve or otherwise obtain or obtain.Work pattern capture is for the desired mould of the data inputted to operation
Formula.The pattern can be acquired from operation or be automatically determined or infer from operation.The mark data integrated mode at 830
With the coupling element of work pattern.The shape or structure of pattern definition data, and schema elements are the parts of pattern, it can be with
Including title and type etc..Coupling element is included based on various schema elements feature or characteristic (such as element term) come at two
Same or analogous element is identified between pattern.Similitude can be measured in a variety of ways, and similarity can be with
Change.It therefore, it can set up threshold value, it defines when it is matching (such as when similarity is more than predetermined value).In reference marker
At 840, mismatch element and be identified.Mismatch the member that element is the threshold value of the similitude or confidence level that do not meet matching presence
Element.Therefore, the matching for not meeting predetermined threshold is identified as to mismatch.
Fig. 9 is the flow chart for the method 900 classified to pattern match.At reference marker 910, type is performed
Match somebody with somebody.Here, including same data type, the element for example from dataset schema and work pattern is determined.With this side
Formula, can perform the citation form of matching based on data types such as character string, numeral, date-times.By Fig. 4 and figure
In example shown in 5 screenshot capture, " integration " may be matched with " game points ", because they all have style number.
At mark 920, name-matches are performed.In this case, the element from two patterns is analyzed, to identify tool
There are the schema elements of same or similar title.Whether synonymicon can be created and for understanding two elements because of them
It is related with identical title or title synonym.In the screenshot capture on Fig. 4 and Fig. 5, " Xbox integrations " is " product
Point " synonym, and " game points " are the synonyms of " score ".Using the name-matches in addition to type matching with only adopting
With only a kind of matching in type matching or name-matches compared to the more fine-grained matching identification of offer.
At reference marker 930, using machine learning come auxiliary matched.Machine learning can be learned based on previous interaction
Practise the relation between element.If for example, user previously with system interaction or is otherwise indicated that the schema elements of data set
Or field " score " is mapped to the schema elements or field " game points " of operation, then this can be recorded and then when identical
User or different user are sought to be utilized when data source is connected into operation.In addition, learning object can summarize the fact so that
" score " and " game points " is interpreted synonym, or even further to include any schema elements of " score "
Title is considered as synonym.
At reference marker 940, based on predetermined confidence threshold value by element classification is matching or mismatches.More specifically,
It can determine to be assigned to the plain confidence metric of every constituent element based on one or more in type, title or machine learning.
For example, have a case that the elements of same type and same names with element only share one of type or title compared to will with
Higher levels of confidence level with presence.It is less than title furthermore, it is possible to be assigned to the element of title that is shared similar but differing
The confidence metric of confidence metric in the case of identical.Similarly, can to shared related or equivalent data type and
It is not that the element of same data type assigns the confidence metric for being less than the confidence metric for being assigned to same type.Generally,
Confidence metric or score can be assigned for each " matching " element set.Then, it can be incited somebody to action based on predetermined confidence threshold value
Element set is categorized as matching or mismatched.For example, the element of the confidence metric with percent 70 (70%) or bigger
Matching can be classified as to (meaning that system is that percent 70 (70%) is determined or more determines that matching is present), and had
Confidence metric less than 70 percent to that will be classified as mismatch.In other words, the intensity of the matching between element
Determine that it is considered as matching or mismatched.Certainly, other classification are possible, and threshold value can change.As an example,
Element indicates that can be assigned the color of confidence level measurement, including wherein confidence metric is more than percent 80 (80%)
Green, yellow of its vacuum metrics between percent 80 (80%) and percent 50 (50%), and its vacuum metrics are less than
The red of percent 50 (50%).
Operation is connected to perform conversion on data set with data set.However, the pattern of data set and the desired frame of operation
Generally had differences between structure.These differences can not be solved, Job execution may fail or the wrong result of generation.This can be with
Solved by calculating the measurement of the corresponding relation intensity between data set and the schema elements of operation.Then, corresponding relation
Intensity can be compared with one or more predetermined thresholds, matched and mismatched with automatic mark.Then can be to user
Notification mode is mismatched.Further it is provided that a kind of mechanism, enables a user to solve the mismatch between schema elements.Example
Such as, user can be interacted by the expression of the schema elements with being presented using graphic user interface come correctly mapped mode member
Element.As a result, never match pattern comes into force for match pattern state change.
Theme, which is disclosed, to be supported to perform or be configured as the various products for performing the various actions for mismatching detection on pattern
And process.Followed by one or more illustrative methods and system.
A kind of method is included in the expression of the data set presented on the display in the Part I at interface on working space,
The working space is configured as support and streamline is created using chart, and wherein output of the streamline including wherein the first operation can
Selection of land provides the set of one or more related operations of input to the second operation；In response to the table of the data set on working space
Show that the connection of the expression of operation mismatches the execution detected to initiate pattern；And the display in the Part II at interface
The upper one or more patterns presented between data set and operation are unmatched to be represented.This method is also included by by data set
The measurement of corresponding relation intensity between schema elements and the schema elements of operation is compared to execution pattern with predetermined threshold
Mismatch detection.This method is additionally included on display is presented the one or more of dataset schema in the Part III at interface
The expression of one or more elements of element and work pattern.This method is additionally included in the display in the Part III of interface
The first element in upper one or more elements that dataset schema is presented and one or more elements from work pattern
The visual instruction of corresponding relation intensity between second element.This method is also included based on corresponding relation intensity and predetermined threshold
Compare unmatched visual instruction is presented.This method also includes being based on corresponding relation intensity and predetermined threshold or different predetermined thresholds
The comparison of value is presented the visual instruction of matching.This method also includes receiving corrects one or many with the Part II on interface
One of individual mismatch associated signal.This method also includes the signal for receiving the unmatched first mode element of selection, by the
One schema elements are dragged from its home position, and first mode element is placed on to the target position occupied by second mode element
In putting.This method also includes the home position that second mode element is automatically moved to first mode element.
A kind of method, which includes using, to be configured as performing at least the one of the computer executable instructions of storage in memory
Individual processor performs following action：Detected input data set to the company of operation by means of graphic user interface working space
Connect, graphic user interface working space is configured as supporting the diagram creation of streamline, streamline includes wherein the first operation
Output alternatively to the second operation provide input one or more related operations set；By by data set and operation
The measurement of corresponding relation intensity between schema elements is compared to determine the pattern member of data set and operation with predetermined threshold
One or more mismatches between element；And one or more mismatches are presented in the context of working space.This method
Also include based on data type or title relatively at least one determine the corresponding relation intensity between schema elements.The party
Method also includes relatively identifying input data set and operation based on corresponding relation intensity and predetermined threshold or different predetermined thresholds
Schema elements between one or more matchings.This method also includes visually distinguishing matching with mismatching.This method is also wrapped
Include reception signal the schema elements of input data set are assigned to the different mode element of operation.Methods described also includes receiving
Selection, drag operation and placement operation on the schema elements of the visual representation of one of one or more mismatches.
System includes being coupled to the processor of memory, and the processor is configured as performing storage in memory following
Computer can perform component：First assembly, is configured as that the visual working space for being used for diagrammatically creating streamline, the stream is presented
The set for one or more related operations that the output that waterline includes wherein the first operation is alternatively inputted to the second operation offer；
The connection of the expression of operation is arrived in second component, the expression for the data set being configured to respond on working space, based on data set
The mould of the measurement of corresponding relation intensity between the schema elements of operation and the comparison of predetermined threshold, mark data collection and operation
One or more patterns between formula element are mismatched；And the 3rd component, it is configured as presenting between data set and operation
One or more patterns are mismatched.3rd component is additionally configured to present in the context of working space and mismatched.Second group
Part is additionally configured to data type and title at least based on schema elements to determine the schema elements of data set and the mould of operation
Corresponding relation intensity between formula element.The system also includes being configured as enabling mismatching graphically again referring to for schema elements
4th component of group.4th component is additionally configured to support the drag and drop of the visual representation with mismatching schema elements to interact.
System includes being coupled to the processor of memory, and the processor is configured as performing storage in memory following
Computer can perform component：First assembly, is configured as detecting input data by means of graphic user interface working space
Collect the connection of operation, graphic user interface working space is configured as supporting the diagram creation of streamline, and streamline includes
The output of wherein the first operation alternatively provides the set of one or more related operations of input to the second operation；Second group
Part, is configured as by the way that the measurement of the corresponding relation intensity between data set and the schema elements of operation and predetermined threshold are carried out
Compare to determine one or more mismatches between data set and the schema elements of operation；And the 3rd component, it is configured as
One or more mismatches are presented in the context of working space.System also includes being configured as being based on data type or title
At least one compared determines the component of the corresponding relation intensity between schema elements.The system also includes being configured as base
In corresponding relation intensity the schema elements of input data set and operation are identified from the comparison of predetermined threshold or different predetermined thresholds
Between one or more matchings component.The system also includes being configured as receiving signal so that the pattern of input data set is first
Element is assigned to the component of the different mode element of operation.The system also includes being configured as receiving mismatching on one or more
One of the selection of schema elements of visual representation, the component of drag operation and placement operation.
Word " exemplary " or its various forms are used to mean to serve as example, example or explanation herein.It is described herein
Any aspect or design for " exemplary " are not necessarily to be construed as preferably or more favourable than other aspects or design.In addition, example
It is provided merely for the purpose being aware and understood, and is not intended to be limiting in any manner or constrains theme claimed
Or the relevant portion of the disclosure.It should be appreciated that the countless additionally or alternatively examples of various scopes may be presented, but go out
It has been omitted in succinct purpose.
As it is used herein, term " component " and " system " and its various forms are (for example, component, system, subsystem
System ...) it is intended to refer to computer related entity, hardware, the combination of hardware and software, software or executory software.Example
Such as, component can be but not limited to run on a processor process, processor, object, example, executable file, perform
Thread, program and/or computer.As explanation, both the application run on computers and computer can be components.One
Individual or multiple components be may reside within the thread of process and/or execution, and component can be localized in a computer
Go up and/or be distributed between two or more computers.
The connection "or" used in this specification and in the appended claims be intended to mean to show the "or" that includes and
It is not exclusive "or", unless otherwise dictated from context or clearly.In other words, " X " or " Y " be intended to mean " X " and
Any inclusive arrangement of " Y ".If for example, " ' A ' use ' X ' ", " ' A ' uses ' Y ' " or " ' A ' use ' X ' and ' Y ' two
Person ", then in the case of any of above, " ' A ' uses ' X ' or ' Y ' " is satisfied.
In addition, term " comprising ", "comprising", " having ", " containing " or variant with its form be used in detailed description or
In the sense that in claims, so that when being used as transition word in the claims, " comprising " is explained with term " comprising "
Similar fashion, these terms are intended to inclusive.
In order to provide the context for theme claimed, Figure 10 and following discussion are aimed to provide and wherein may be used
With brief, the general description of the proper environment of the various aspects of realizing theme.However, suitable environment is only example, and
It is not intended to imply that to any limitation using scope or function.
Although the general context of the computer executable instructions for the program that can be run on one or more computers
Described in disclosed systems above and method, it will be recognized to those skilled in the art that these aspect can also be with other journeys
Sequence module etc. combines to be implemented.Generally, program module includes performing particular task and/or realizes particular abstract data type
Routine, program, component, data structure etc..Further, it will be understood by those skilled in the art that can be under unified central planning using various departments of computer science
Put to implement the systems and methods, including uniprocessor, multiprocessor or polycaryon processor computer system, miniature calculating are set
Standby, mainframe computer and personal computer, handheld computing device are (for example, personal digital assistant (PDA), phone, hand
Table ...), based on microprocessor or programmable consumer or industrial electrical equipment etc..Aspect can also be in Distributed Calculation ring
Implement in border, wherein task by the remote processing devices of communication network links by being performed.However, theme claimed
Some (if not all) aspects can be implemented on stand-alone computers.In a distributed computing environment, program module can
Be located locally with the one or both in remote memory storage devices.
With reference to Figure 10, show exemplary general computer or computing device 1002 (for example, desktop computer, on knee
Computer, flat board, wrist-watch, server, hand-held, programmable consumer or industrial electrical equipment, set top box, games system, calculating
Node ...).Computer 1002 includes one or more processors 1020, memory 1030, system bus 1040, Large Copacity and deposited
Store up equipment 1050 and one or more interface modules 1070.System bus 1040 is at least communicatively coupled said system composition portion
Point.It will be appreciated, however, that in its simplest form, computer 1002 can include be coupled to memory 1030 one or
Multiple processors 1020, its component for performing the executable action of various computers, instructing and/or being stored in memory 1030.
Processor 1020 can using general processor, digital signal processor (DSP), application specific integrated circuit (ASIC),
Field programmable gate array (FPGA) or other PLDs, discrete gate or transistor logic, discrete hardware components or
It is designed to perform any combinations of functionality described herein to realize.General processor can be microprocessor, but standby
Selection of land, processor can be any processor, controller, microcontroller or state machine.Processor 1020 can also be implemented as
Combination, multi-microprocessor, polycaryon processor and the conjunction DSP core hearty cord of the combination of computing device, such as DSP and microprocessor
The one or more microprocessors of conjunction or any other such configuration.In one embodiment, processor can be at figure
Manage device.
Computer 1002 can include or otherwise interact to promote computer with various computer-readable mediums
The one or more aspects of theme claimed are realized in 1002 control.Computer-readable medium can be can be by counting
Any usable medium that calculation machine 1002 is accessed, and including volatibility and non-volatile media, and it is detachable and non-dismountable
Medium.Computer-readable medium can include two kinds of different and mutually exclusive types, i.e. computer-readable storage medium and communication
Medium.
Computer-readable storage medium is included for such as computer-readable instruction, data structure, program module or other numbers
According to information storage any method or technique realize volatibility and non-volatile, detachable and non-dismountable medium.Meter
Calculation machine storage medium includes storage device, and such as memory devices are (for example, random access memory (RAM), read-only storage
(ROM), Electrically Erasable Read Only Memory (EEPROM) ...), magnetic storage apparatus (for example, hard disk, floppy disk, cassette,
Tape ...), CD (for example, compact disk (CD), digital versatile disc (DVD) ...) and solid condition apparatus are (for example, solid-state is hard
Disk (SSD), flash drive (for example, card, rod, key drive ...) ...) or any other similar medium, it is deposited
Storage is (with transmitting or communicating relative) by the addressable desired information of computer 1002.Therefore, computer-readable storage medium is excluded
Modulated data-signal.
Communication media embodies computer-readable instruction, data structure, program module or such as carrier wave or other transmission mechanisms
Modulated data-signal in other data, and including any information transmitting medium.Term " modulated data letter
Number " refer to the signal that makes one or more of its feature be set or change in the way of encoding information onto in the signal.
Unrestricted as example, communication media includes the wire medium of such as cable network or direct wired connection, and such as sound
, RF, the wireless medium of infrared and other wireless mediums.
Memory 1030 and mass-memory unit 1050 are the examples of computer-readable recording medium.Set depending on calculating
Standby exact configuration and type, memory 1030 can be volatibility (for example, RAM), non-volatile (for example, ROM, dodge
Deposit ...) or both certain combination.As an example, including for all elements as during start-up in computer 1002
Between the basic input/output (BIOS) of basic routine of transmission information can be stored in nonvolatile memory,
And volatile memory can serve as external cache, with processing of promoting processor 1020 etc..
Mass-memory unit 1050 includes being used for storing the detachable/non-disconnectable of mass data relative to memory 1030
Unload, volatile/nonvolatile computer storage media.For example, mass-memory unit 1050 include but is not limited to one or
Multiple equipment, such as disk or CD drive, floppy disk, flash memory, solid-state drive or memory stick.
Memory 1030 and mass-memory unit 1050 can include operating system 1060, one or more applications
1062nd, one or more program modules 1064 and data 1066, or it is stored in wherein.Operating system 1060 act as control
The resource of system and distribution computer 1002.Include the one or both in system and application software using 1062, and can lead to
Cross program module 1064 and be stored in the data 1066 in memory 1030 and/or mass-memory unit 1050 to utilize operation
System 1060 is to the management of resource to perform one or more actions.Therefore, can be according to the logic thus provided using 1062
All-purpose computer 1002 is converted into special purpose machinery.
The all or part of theme claimed can use standard program and/or engineering technology with produce software,
Firmware, hardware or its any combinations are realized, disclosed function is realized with control computer.It is unrestricted as example,
Visual authoring system 100 or part thereof can be the part using 1062, or composition is using 1062 part, and including
One or more of memory and/or mass-memory unit 1050 module 1064 and data 1066 are stored in, its function is worked as
It can be implemented when being performed by one or more processors 1020.
According to a specific embodiment, processor 1020 can correspond to on-chip system (SOC) or similar architecture,
Include on single integrated circuit substrate or in other words integrated hardware and software.Here, processor 1020 can include one or
Multiple processors and it is at least similar to memory of processor 1020 and memory 1030 etc..Conventional processors include minimum
Hardware and software, and extensively depend on external hardware and software.By contrast, the SOC realizations of processor are more powerful, because
Hardware and software is embedded by it, hardware and software enable with to outside hardware and software it is minimum rely on or independent of
The specific function of external hardware and software.For example, visual authoring system 100 and/or associated function can be embedded in SOC
In the hardware of framework.
Computer 1002 also includes being communicably coupled to system bus 1040 and promoted and interact the one of computer 1002
Individual or multiple interface modules 1070.As an example, interface module 1070 can be port (for example, serial, parallel, PCMCIA,
USB, FireWire ...) or interface card (for example, sound, video ...) etc..In an example implementation, interface module 1070
User's input/output interface can be embodied as, is enabled a user to by one or more input equipments (for example, such as
The pointing device of mouse, trace ball, contact pilotage, touch pad, keyboard, microphone, control stick, handle, satellite antenna, scanner, phase
Machine, other computers ...), it will for example be ordered by means of one or more postures or phonetic entry and be input to computer with information
In 1002.In another example implementation, interface module 1070 can be embodied as peripheral interface, output is fed to aobvious
Show device (for example, LCD, LED, plasma ...), loudspeaker, printer and/or other computers.Further, interface group
Part 1070 can be embodied as network interface, to enable such as by wired or wireless communication link and other computing devices
The communication of (not shown).
Content already described above includes the example of the aspect of theme claimed.Certainly, wanted for description
Seek the purpose of the theme of protection and can not possibly describe each of component or method it is contemplated that combination, but ordinary skill people
Member will recognize that many further combinations and permutations of disclosed theme are possible.Therefore, disclosed theme purport
Covering to fall all such changes, modifications and variations in the spirit and scope of the appended claims.
Claims (10)
1. a kind of method, including：
Use be configured as performing at least one processor of storage computer executable instructions in memory perform with
Lower action：
Detected input data set to the connection of operation, Graphic User circle by means of graphic user interface working space
Face working space is configured as supporting the diagram creation of streamline, and the streamline includes the output of wherein the first operation alternatively
The set of one or more related operations of input is provided to the second operation；
By the way that the measurement of the corresponding relation intensity between the data set and the schema elements of the operation is entered with predetermined threshold
Row relatively determines one or more mismatches between the data set and the schema elements of the operation；And
One or more of mismatches are presented in the context of the working space.
2. according to the method described in claim 1, in addition to based on data type or title relatively at least one of determine
Corresponding relation intensity between the schema elements.
3. according to the method described in claim 1, in addition to based on the corresponding relation intensity and the predetermined threshold or difference
The comparison of predetermined threshold identifies one or more matchings between the input data set and the schema elements of the operation.
4. method according to claim 3, in addition to matching is visually distinguished with mismatching.
5. according to the method described in claim 1, in addition to receive signal with by the schema elements of the input data set assign
Different mode element to the operation.
6. method according to claim 5, in addition to receive the visual table on one of one or more of mismatches
Selection, drag operation and the placement operation for the schema elements shown.
7. a kind of system, including：
The processor of memory is coupled to, the processor is configured as performing the following computer being stored in the memory
Executable component：
First assembly, is configured as that the visual working space for being used for diagrammatically creating streamline is presented, the streamline includes it
In the first operation output alternatively to the second operation provide input one or more related operations set；
Second component, is configured to respond to the expression of the data set on the working space to the company of the expression of the operation
Connect, measurement and the comparison of predetermined threshold based on the corresponding relation intensity between data set and the schema elements of operation, identify institute
The one or more patterns stated between data set and the schema elements of the operation are mismatched；And
3rd component, is configured as presenting one or more of patterns between the data set and the operation and mismatches.
8. system according to claim 7, the 3rd component is additionally configured in the context of the working space
Described mismatch is presented.
9. system according to claim 7, second component is additionally configured at least data class based on schema elements
Type and title determine the corresponding relation between the schema elements of the data set and the schema elements of the operation
Intensity.
10. system according to claim 7, in addition to the 4th component, are configured as enabling the figure for mismatching schema elements
Shape is reassigned.
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| PCT/US2015/061209 WO2016081531A1 (en) | 2014-11-21 | 2015-11-18 | Automatic schema mismatch detection |
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| US10681164B2 (en) * | 2018-05-03 | 2020-06-09 | Microsoft Technology Licensing, Llc | Input and output schema mappings |
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| US11232139B2 (en) * | 2018-06-29 | 2022-01-25 | Lucid Software, Inc. | Custom interactions with visualizations |
| SG11202108731TA (en) | 2019-02-22 | 2021-09-29 | Lucid Software Inc | Reversible data transforms |
| US11100173B2 (en) | 2019-06-18 | 2021-08-24 | Lucid Software, Inc. | Autolayout of visualizations based on graph data |
| US11169671B2 (en) | 2019-11-26 | 2021-11-09 | Lucid Software, Inc. | Alteration of a source data visualization based on user input |
| US11263105B2 (en) | 2019-11-26 | 2022-03-01 | Lucid Software, Inc. | Visualization tool for components within a cloud infrastructure |
| US11080484B1 (en) * | 2020-10-08 | 2021-08-03 | Omniscient Neurotechnology Pty Limited | Natural language processing of electronic records |
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| US20160147796A1 (en) | 2016-05-26 |
| RU2017117425A (en) | 2018-11-19 |
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| US10684998B2 (en) | 2020-06-16 |
| BR112017008453A2 (en) | 2017-12-26 |
| EP3221786A1 (en) | 2017-09-27 |
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